EP 3543906 B1 20231108 - METHOD, APPARATUS, AND SYSTEM FOR IN-VEHICLE DATA SELECTION FOR FEATURE DETECTION MODEL CREATION AND MAINTENANCE
Title (en)
METHOD, APPARATUS, AND SYSTEM FOR IN-VEHICLE DATA SELECTION FOR FEATURE DETECTION MODEL CREATION AND MAINTENANCE
Title (de)
VERFAHREN, VORRICHTUNG UND SYSTEM ZUR DATENAUSWAHL AN BORD EINES FAHRZEUGS ZUR ERSTELLUNG UND WARTUNG VON MERKMALSERKENNUNGSMODELLEN
Title (fr)
PROCÉDÉ, APPAREIL ET SYSTÈME DE SÉLECTION DE DONNÉES DANS UN VÉHICULE POUR LA CRÉATION ET LA MAINTENANCE D'UN MODÈLE DE DÉTECTION DE FONCTION
Publication
Application
Priority
US 201815933013 A 20180322
Abstract (en)
[origin: EP3543906A1] An approach is provided for selecting training observations for machine learning models. The approach involves determining a first distribution of a plurality of features observed in the training data set, and a second distribution of the plurality of features observed in the candidate pool of observations. The approach further involves selecting one or more observations in the candidate pool of observations for annotation based on the first distribution and the second distribution. The approach further involves adding the one or more observations to the training data set after annotation. The training data set is used for training the machine learning model.
IPC 8 full level
G06V 10/774 (2022.01); G06V 10/94 (2022.01); G06V 10/96 (2022.01); G06V 20/56 (2022.01)
CPC (source: EP US)
G05D 1/0088 (2024.01 - US); G05D 1/0221 (2024.01 - US); G06F 18/214 (2023.01 - US); G06N 5/047 (2013.01 - US); G06N 7/00 (2013.01 - US); G06N 20/00 (2018.12 - US); G06V 10/774 (2022.01 - EP US); G06V 10/95 (2022.01 - EP US); G06V 10/96 (2022.01 - EP US); G06V 20/56 (2022.01 - EP US)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
EP 3543906 A1 20190925; EP 3543906 B1 20231108; US 11263549 B2 20220301; US 2019295003 A1 20190926
DOCDB simple family (application)
EP 19163437 A 20190318; US 201815933013 A 20180322